Musashino, Japan

Takuya Otsuka

This inventor holds 1 USPTO granted patent. Top assignee: Nippon Telegraph and Telephone Corporation. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Takuya Otsuka. Retrieved from https://idiyas.com/inventor/takuya-otsuka-gih2hh9y

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Takuya Otsuka: Innovator in Optical Computing

Introduction

Takuya Otsuka is a prominent inventor based in Musashino, Japan. He has made significant contributions to the field of optical computing, showcasing his innovative spirit through his patented inventions. His work focuses on enhancing the capabilities of neural networks using optical elements.

Latest Patents

Otsuka holds a patent for an "Optical computing element and multi-neural network." This invention provides an optical operational element that enables the construction of a multilayered optical neural network without the need for an optical amplifier. The optical operational element consists of a photothermal conversion unit that converts light energy into thermal energy, a light intensity variation unit that adjusts the intensity of external light based on temperature variations, and a housing unit that facilitates the introduction and output of light.

Career Highlights

Takuya Otsuka is associated with Nippon Telegraph and Telephone Corporation, where he continues to push the boundaries of optical technology. His work has garnered attention for its potential applications in advanced computing systems.

Collaborations

Otsuka collaborates with notable colleagues, including Soichi Oka and Shiori Konisho, who contribute to his research and development efforts in optical computing.

Conclusion

Takuya Otsuka's innovative work in optical computing exemplifies the potential of technology to transform neural networks. His contributions are paving the way for future advancements in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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